activity
20232026
most citedA quantum algorithm for solving 0-1 Knapsack problems

7 citations · 8 across the 7 of their papers we have counts for

collaborators

8 papers

quant-ph2026

Quantum Log-Determinant Methods for Torsion-Sensitive Topological Data Analysis

Dimitrios Thanos, Caesnan Leditto, Adam Wesolowski +2

Betti numbers are central to topological data analysis but fail to capture torsion in integral homology. Torsion can distinguish topological structures with identical Betti numbers…

quant-ph2026

Approximate Sparse State Preparation with the Grover-Rudolph Algorithm

Debora Ramacciotti, Martin Steinbach, Bence Temesi +2

Sparse quantum state preparation is a common subroutine in quantum algorithms, where classical data with few nonzero entries must be loaded into a quantum state. In this work, we c…

quant-ph2026

A gate-time feasibility analysis of quantum breadth-first search for maximum flow problems

Andreea-Iulia Lefterovici, Lara Lelakowski, Michael Perk

The maximum flow problem asks to find the largest possible flow from a source to a sink in a capacitated network. It arises frequently in scheduling, project selection, and as a co…

quant-ph2025

Beyond asymptotic scaling: Comparing functional quantum linear solvers

Andreea-Iulia Lefterovici, Michael Perk, Debora Ramacciotti +3

Solving systems of linear equations is a key subroutine in many quantum algorithms. In the last 15 years, many quantum linear solvers (QLS) have been developed, competing to achiev…

quant-ph2025

A quantum search method for quadratic and multidimensional knapsack problems

Sören Wilkening, Andreea-Iulia Lefterovici, Lennart Binkowski +5

Solving combinatorial optimization problems is a promising application area for quantum algorithms in real-world scenarios. In this work, we extend the "Quantum Tree Generator" (QT…

quant-ph2023★ 1 cited

Realistic Runtime Analysis for Quantum Simplex Computation

Sabrina Ammann, Maximilian Hess, Debora Ramacciotti +10

In recent years, strong expectations have been raised for the possible power of quantum computing for solving difficult optimization problems, based on theoretical, asymptotic wors…

quant-ph2023

A simple quantum algorithm to efficiently prepare sparse states

Debora Ramacciotti, Andreea-Iulia Lefterovici, Antonio F. Rotundo

State preparation is a fundamental routine in quantum computation, for which many algorithms have been proposed. Among them, perhaps the simplest one is the Grover-Rudolph algorith…

quant-ph2023★ 7 cited

A quantum algorithm for solving 0-1 Knapsack problems

Sören Wilkening, Andreea-Iulia Lefterovici, Lennart Binkowski +3

Here we present two novel contributions for achieving quantum advantage in solving difficult optimisation problems, both in theory and foreseeable practice. (1) We introduce the "Q…